姓名: | 陈涛 | 性别: | 男 |
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职称: | 讲师 | 学位: | 工学博士 | |
单位: | 东华理工大学测绘与空间信息工程学院(北斗学院) | |||
地址/邮编: | 江西省南昌市昌北经开区广兰大道418号/330013 | |||
Email: | ctao@ecut.edu.cn | |||
研究方向: | 空间大地测量(GNSS/卫星重力/InSAR)数据处理及其地学应用 | |||
个人简介
陈涛,男,江西宜春人,中共党员,已在专业领域国际国内权威期刊IEEE-TGRS、GJI、JoH、JoH: RS、JSTARS、SR、RS、EPS、GG和测绘学报上发表论文15篇,授权发明专利2项,主持东华理工大学研究生创新项目,作为核心成员参与多项国家自然科学基金项目。
教育经历
2022年9月—2025年12月 武汉大学 大地测量学与测量工程 博士
2019年9月—2022年06月 东华理工大学 测绘科学与技术 硕士
2015年9月—2019年06月 东华理工大学 测绘工程 学士
工作经历
2026年6月—至今 东华理工大学测绘与空间信息工程学院讲师
成果与奖励
2.2021年江西省研究生数学建模竞赛三等奖
3.第十届全国大学生数学竞赛(非数学类)二等奖
4.第二十二届华东六省一市测绘学会学术交流会优秀论文三等奖
5.东华理工大学第三十四届研究生学术报告一等奖
科研成果
1.Chen Tao, & Ding Hao. (2025). Comparative analysis of the impact of different environmental loading products on contemporary vertical land motion of Mainland China from multigeodetic measurements. Geophysical Journal International, 244(1), 1-26.
2.Chen Tao, Pan Yuanjin, Jiao Jiashuang, & He Meilin. (2025). Integrating GNSS and GRACE observations to investigate water storage variations across different climatic regions of China. IEEE Transactions on Geoscience and Remote Sensing, 63, 5801715.
3.Chen Tao, Pan Yuanjin, Ding Hao, Jiao Jiashuang, He Meilin, & Xiao Yixin. (2024). Spatiotemporal variability of terrestrial water storage and climate response processes in the Tianshan from geodetic observations. Journal of Hydrology: Regional Studies, 56, 102061.
4.Chen Tao, Pan Yuanjin, Ding Hao, Jiao Jiashuang, & He Meilin. (2024). Investigating terrestrial water storage variation and its response to climate in Southeastern Tibetan Plateau inferred through space geodetic observations. Journal of Hydrology, 640, 131742.
5.He Meilin, Chen Tao, Pan Yuanjin, Jiao Jiashuang, Wu Qiwen, Lv Yifei, & Jiang Weiping. (2025). Spatiotemporal variability of terrestrial water storage over the Tibetan Plateau from the joint inversion of GNSS and GRACE observations. Scientific Reports, 15, 27168.
6.He Meilin, Chen Tao, Pan Yuanjin, Zhou Lv, Lv Yefei, & Zhao Lewen. (2025). Seasonal and interannual variations in hydrological dynamics of the Amazon Basin: Insights from geodetic observations. Remove Sensing, 17(15), 2739.
7.Pan Yuanjin, Dong Jie, He Meilin, Yan Qingyun, Wu Qiwen, Chen Tao, Jiao Jiashuang, Lv Yefei, & Zhou Lv. (2026). Spatial heterogeneity of nonlinear signals, background noise and vertical velocities in GNSS vertical time series across the Tibetan Plateau: A systematic analysis of multi-source loading corrections. Geophysical Journal International, 245(2), 1-18.
8.He Meilin, Pan Yuanjin, Zhou Lv, Jiao Jiashuang, Chen Tao, & Xiao Yixin. (2026). Mapping present-day vertical land motion in the Alpine-Apennine system from GNSS time series: Uncertainty reduction using hydrological loading corrections. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 19, 11280-11292.
9.Shi Kunpeng, Ding Hao, Chen Tao, & Zou Chuanyi. (2023). The numerical prediction of the Earth’s polar motion based on an advanced multivariate algorithm. Frontiers in Astronomy and Space Sciences, 10, 1158138.
10.Wang Leyang, & Chen Tao. (2022). A method for mixed additive and multiplicative random error models with inequality constraints in geodesy. Earth Planets and Space, 74(125), 1-15.
11.Wang Leyang, & Chen Tao. (2021). Ridge estimation iterative solution of ill-posed mixed additive and multiplicative random error model with equality constraints. Geodesy and Geodynamics, 12(5), 336-346.
12.Wang Leyang, & Chen Tao. (2021). Virtual observation iteration solution and A-optimal design method for ill-posed mixed additive and multiplicative random error model in geodetic measurement. Journal of Surveying Engineering, 147(4), 04021016.
13.Wang Leyang, Chen Tao, & Zou Chuanyi. (2024). The TSCR method for precision estimation of ill-posed mixed additive and multiplicative random error model. Communications in Statistics - Simulation and Computation, 53(9), 4581-4595.
14.王乐洋, & 陈涛*. (2022).加乘性混合误差模型精度评定的SUT法. 测绘学报, 51(11), 2303-2316.
15.王乐洋, 陈涛, &邹传义. (2021).病态乘性误差模型的加权最小二乘正则化迭代解法及精度评定. 测绘学报, 50(5), 589-599.
学生培养
本人致力于培养从事卫星大地测量及其地学应用研究的专业人才。欢迎勤奋踏实、具有大地测量与遥感、地球物理、计算机等相关背景的同学报考研究生;同时欢迎在校大学生开展学术交流、参与科研工作,并积极申报大学生创新创业训练计划等项目、参加相关竞赛。
